Nothing so certain as your anchors? A consumer bias that might lower prices

Anchoring is a well-known decision-making bias: original guesses for a certain question could act as anchors and could influence our final answers. Reference prices - in a similar fashion - can lead to a bias in consumer valuations, and thus consumer demand will be coherent but not one derived from a utility framework. In our paper we investigate the effect of the existence of anchoring on how oligopolistic firms might change their pricing strategy. More specifically, we analyze the effect of anchoring on pricing when differentiated firms compete in Bertrand fashion. We show that if the anchoring effect is smaller than a threshold the average price is lower compared to the no-anchoring case

How social comparison influences reference price formation in a service context

What is the influence on reference price when the source of price information is anonymous versus social? This article investigates the formation of reference prices given an observed sequence of past prices in a service context. An experimental study suggests that, considering the same price information, if the source is social (i.e., the prices paid by colleagues), then consumers want to pay less. More specifically, social comparison changes the way individuals weigh information, attributing more importance to the lowest historical prices and to the range in price variations

The exploration of hotel reference prices under dynamic pricing scenarios and different forms of competition

The reference price, used by consumers to evaluate market prices, has tremendous relevance in dynamic pricing. Reconciling current heterogeneous theories and studies on reference prices, this paper analyzes the impact of hotel price sequences on consumers’ reference prices through a lab and a field experiment. Experiment 1 tests the importance of retrospective price evaluations, while Experiment 2 evaluates the impact of three forms of competition: (i) simultaneous behavior, where firms adjust prices simultaneously; (ii) leader-follower behavior, where one firm acts as the leader; and (iii) independent behavior, where each player takes its rival’s strategy as given and seeks to maximize its own profits. The results show that consumers decrease their reference price when competing hotels adjust their prices simultaneously. Relevant managerial implications are drawn for the hospitality industry, which is affected by the presence of online travel agencies that announce the daily rates offered by each competitor

Dynamic Pricing for Airline Revenue Management under Passenger Mental Accounting

Mental accounting is a far-reaching concept, which is often used to explain various kinds of irrational behaviors in human decision making process. This paper investigates dynamic pricing problems for single-flight and multiple flights settings, respectively, where passengers may be affected by mental accounting. We analyze dynamic pricing problems by means of the dynamic programming method and obtain the optimal pricing strategies. Further, we analytically show that the passenger mental accounting depth has a positive effect on the flight’s expected revenue for the single flight and numerically illustrate that the passenger mental accounting depth has a positive effect on the optimal prices for the multiple flights

Operations Management of Logistics and Supply Chain: Issues and Directions

There has been consensus that logistics as well as supply chain management is a vital research field, yet with few literature reviews on this topic. This paper sets out to propose some hot issues in the current research, through a review of related literature from the perspective of operations management. In addition, we generate some insights and future research directions in this field

Product Demand Forecasting and Dynamic Pricing considering Consumers' Mental Accounting and Peak-End Reference Effects

We introduce a demand forecasting model for a monopolistic company selling products to consumers with double-entry mental accounting, which means consumers experience pleasure when consuming goods or service and feel pains when paying for them. Moreover, as the monopolist changes prices, consumers form a reference price that adjusts an anchoring standard based on the lowest price that they perceived, namely, the peak-end anchoring. We obtain the steady state prices under three different payment schemes for two-and infinite-period. We also analyze the relationship between these steady prices and maximal profit and compare the steady state prices of different payment schemes by changing the double-entry mental accounting's parameters through numerical examples. The proposed model is computationally tractable for demand forecasting of realistic size

Product Demand Forecasting and Dynamic Pricing considering Consumers’ Mental Accounting and Peak-End Reference Effects

We introduce a demand forecasting model for a monopolistic company selling products to consumers with double-entry mental accounting, which means consumers experience pleasure when consuming goods or service and feel pains when paying for them. Moreover, as the monopolist changes prices, consumers form a reference price that adjusts an anchoring standard based on the lowest price that they perceived, namely, the peak-end anchoring. We obtain the steady state prices under three different payment schemes for two- and infinite-period. We also analyze the relationship between these steady prices and maximal profit and compare the steady state prices of different payment schemes by changing the double-entry mental accounting’s parameters through numerical examples. The proposed model is computationally tractable for demand forecasting of realistic size

Different Prices for Different Customers – Optimising Individualised Prices in Online Stores by Artificial Intelligence

Today’s information tracking technology and Big Data open up new opportunities for e-commerce. Online stores can collect personal information to estimate customers’ willingness-to-pay. This enables the application of price differentiation where different customers are charged different prices for the same product. Lower prices offered to customers who share the word have an advertisement effect, while higher prices have adverse effects. In this paper we develop a decision model for individualised prices in online stores that considers the sharing of prices by word of mouth which is mostly neglected by current literature. Complex decision models in e-commerce are caught between the need of adequately representing the reality and the demand of being solvable within reasonable time limits. We use various artificial intelligence solution methods to solve the decision model for numerical examples. Our results indicate that despite word of mouth differential pricing can be financially worthwhile